---
title: "Kareem Darwish — papers and cards"
description: "Kareem Darwish: 7 paper cards in the Research library (2002–2024), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/kareem-darwish/"
---
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# Kareem Darwish

7 paper cards in the Research library · 2002–2024

Kareem Darwish wrote 7 of the papers Mova reads, in 2002–2024, most of them on [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/); often with [Ahmed Abdelali](https://md.research.elamur.ai/free/en/authors/ahmed-abdelali/), [Hamdy Mubarak](https://md.research.elamur.ai/free/en/authors/hamdy-mubarak/), [Mohamed Eldesouki](https://md.research.elamur.ai/free/en/authors/mohamed-eldesouki/).

[OpenAlex](https://openalex.org/A5111452036) · [**h-index 38**](https://openalex.org/authors/A5111452036) · [4763 citations](https://openalex.org/authors/A5111452036) · [151 works](https://openalex.org/works?filter=author.id:A5111452036) — openalex-snapshot, 2026-10-14

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kareem+Darwish) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kareem+Darwish) · [dblp](https://dblp.org/search?q=Kareem+Darwish) · [ACL Anthology](https://aclanthology.org/search/?q=Kareem+Darwish) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Kareem+Darwish)

Topics: [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/) 1

## Papers

1. **[Arabic Diacritization Using Morphologically Informed Character-Level Model](https://md.research.elamur.ai/free/en/papers/coling-2024-elmallah-arabic-diacritization-morphologically-informed-character/)** *(2024)* The paper restores Arabic short vowels with a character-level recurrent model, and adds the morpheme boundaries that a separate segmenter predicts.
2. **[Arabic Diacritization: Stats, Rules, and Hacks](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-darwish-arabic-diacritization-stats-rules-hacks/)** *(2017)* The diacritizer works in two cascaded steps. First it restores the vowels of the word core (the word without its case ending): a word-level bigram model with a Viterbi decoder, backed off to stem dictionaries, stem templates derived from roots (computed with Farasa), a transliteration-mined model for foreign names (a…
3. **[A Neural Architecture for Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/aclbulk-2017-samih-neural-architecture-dialectal-arabic-segmentation/)** *(2017)* Egyptian Arabic in tweets has no standard spelling and few annotated resources, and the clitics attached to its verbs are missed by MSA tools.
4. **[Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM](https://md.research.elamur.ai/free/en/papers/langstream-2017-eldesouki-arabic-multi-dialect-segmentation-bi/)** *(2017)* The paper segments four Arabic dialects (Egyptian, Levantine, Gulf, Maghrebi) from raw Twitter text. Only about 350 manually segmented tweets per dialect are used for training, with 5-fold cross-validation and a 70/10/20 split. Two approaches are compared. An SVM ranker generates all segmentations of a word from a…
5. **[Farasa: A Fast and Furious Segmenter for Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2016-abdelali-farasa-fast-furious-segmenter-arabic/)** *(2016)* Farasa splits an Arabic word into prefixes, stem and suffixes. Every character-level split that uses a legal prefix and suffix sequence is generated, and a linear SVM-rank model scores the candidates. The features are stem and affix likelihoods, lexicon membership (a list of valid stems, a gazetteer of names, a list…
6. **[Using Stem-Templates to Improve Arabic POS and Gender/Number Tagging](https://md.research.elamur.ai/free/en/papers/lingbulk-2014-darwish-stem-templates-improve-arabic-pos/)** *(2014)* The paper builds an end-to-end Arabic pipeline: correction of common spelling confusions (alef forms, ta marbuta and ha, alef maqsura and ya), character-level segmentation with a CRF, POS tagging with a CRF, and gender and number tagging for nouns and adjectives.
7. **[Building a Shallow Arabic Morphological Analyser in One Day](https://md.research.elamur.ai/free/en/papers/aclbulk-2002-darwish-building-shallow-arabic-morphological-analyser/)** *(2002)* The paper describes Sebawai, a shallow analyser that returns candidate roots for an Arabic word and is learned from word-root pairs.

## Co-authors (16)

- [Ahmed Abdelali](https://md.research.elamur.ai/free/en/authors/ahmed-abdelali/) ×5
- [Hamdy Mubarak](https://md.research.elamur.ai/free/en/authors/hamdy-mubarak/) ×5
- [Mohamed Eldesouki](https://md.research.elamur.ai/free/en/authors/mohamed-eldesouki/) ×2
- [Mohammed Attia](https://md.research.elamur.ai/free/en/authors/mohammed-attia/) ×2
- [Younes Samih](https://md.research.elamur.ai/free/en/authors/younes-samih/) ×2
- Abdelrahman El-Sheikh
- Ashraf Hatim Elneima
- Kallmeyer Laura
- Laura Kallmeyer
- [Mahmoud Reda](https://md.research.elamur.ai/free/en/authors/mahmoud-reda/)
- [Mohamed Al-Badrashiny](https://md.research.elamur.ai/free/en/authors/mohamed-al-badrashiny/)
- Muhammad Morsy Elmallah
- Murtadha Aljubran
- [Nadir Durrani](https://md.research.elamur.ai/free/en/authors/nadir-durrani/)
- Nouf Alsaeed
- Reem Mohammed

## More papers in the library (11)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [More Data, Fewer Diacritics: Scaling Arabic TTS](https://md.research.elamur.ai/free/en/papers/musleh-2026-more-data-fewer-diacritics-scaling/) — Ahmed Musleh, Yifan Zhang, Kareem Darwish · 2026
- [Fanar: An Arabic-Centric Multimodal Generative AI Platform](https://md.research.elamur.ai/free/en/papers/abbas-2025-fanar-arabic-centric-multimodal-generative/) — Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al. · 2025
- [Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/) — Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al. · 2025
- [Creating Arabic LLM Prompts at Scale](https://md.research.elamur.ai/free/en/papers/el-2024-sheikh-creating-arabic-llm-prompts-scale/) — Abdelrahman El-Sheikh, Ahmed Elmogtaba, Kareem Darwish, et al. · 2024
- [A Few Topical Tweets are Enough for Effective User Stance Detection](https://md.research.elamur.ai/free/en/papers/samih-2021-few-topical-tweets-are-enough/) — Younes Samih, Kareem Darwish · 2021
- [Arabic Offensive Language on Twitter: Analysis and Experiments](https://md.research.elamur.ai/free/en/papers/mubarak-2021-arabic-offensive-language-twitter-analysis/) — Hamdy Mubarak, Ammar Rashed, Kareem Darwish, et al. · 2021
- [Automatic Expansion and Retargeting of Arabic Offensive Language Training](https://md.research.elamur.ai/free/en/papers/mubarak-2021-automatic-expansion-retargeting-arabic-offensive/) — Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish, et al. · 2021
- [Pre-Training BERT on Arabic Tweets: Practical Considerations](https://md.research.elamur.ai/free/en/papers/abdelali-2021-pre-training-bert-arabic-tweets/) — Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, et al. · 2021
- [Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model](https://md.research.elamur.ai/free/en/papers/darwish-2020-arabic-diacritic-recovery-using-feature/) — Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak, et al. · 2020
- [Arabic Dialect Identification in the Wild](https://md.research.elamur.ai/free/en/papers/abdelali-2020-arabic-dialect-identification-wild/) — Ahmed Abdelali, Hamdy Mubarak, Younes Samih, et al. · 2020
- [Abusive Language Detection on Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mubarak-2017-abusive-language-detection-arabic-social/) — Hamdy Mubarak, Kareem Darwish, Walid Magdy · 2017